A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering
作者：
Highlights：
• An approach based on NMF of multi-network for multi-view clustering is proposed.
• An NMF factorization with multiple regularizations is proposed and developed.
• Extensive experimental studies were performed with real data for evaluation.
摘要
•An approach based on NMF of multi-network for multi-view clustering is proposed.•An NMF factorization with multiple regularizations is proposed and developed.•Extensive experimental studies were performed with real data for evaluation.
论文关键词：Multi-view clustering,Networks,Non-negative matrix factorization,Multi-manifold regularization
论文评审过程：Received 14 April 2019, Revised 25 January 2021, Accepted 22 February 2021, Available online 27 February 2021, Version of Record 13 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114783
